{"id":"W2159827439","doi":"10.1002/aic.13840","title":"Deterministic vs. stochastic performance assessment of iterative learning control for batch processes","year":2012,"lang":"en","type":"article","venue":"AIChE Journal","topic":"Iterative Learning Control Systems","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Iterative learning control; Benchmark (surveying); Computer science; Control theory (sociology); Batch processing; Mathematical optimization; Work (physics); Control (management); Mathematics; Engineering; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004696249,0.0007183638,0.0005353505,0.0007459433,0.0003402924,0.001145644,0.000664334,0.0008298414,0.0004853542],"category_scores_gemma":[0.01200125,0.0002661595,0.0005507662,0.0004223236,0.001054332,0.0008798154,0.0009240452,0.0007292072,0.00008796532],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001109132,"about_ca_system_score_gemma":0.0008108786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002435387,"about_ca_topic_score_gemma":0.0009542978,"domain_scores_codex":[0.9976554,0.0007859494,0.0001400416,0.0002807621,0.0009616759,0.0001761032],"domain_scores_gemma":[0.9935774,0.00394922,0.0009270989,0.0004410766,0.001019897,0.00008532412],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003182634,0.00007547029,0.001774984,0.00009668109,0.00003533007,0.00003780057,0.000082078,0.9530828,0.01041757,0.005027269,0.0001325583,0.02891913],"study_design_scores_gemma":[0.000005624211,0.000152029,0.000999204,0.000005413602,0.000006547361,0.00001038482,0.000008583523,0.9920464,0.005356863,0.001337075,0.00005710114,0.0000149728],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2872997,0.0005128041,0.7058449,0.0001561912,0.00002469657,0.00007895985,0.00004024038,0.000269772,0.005772748],"genre_scores_gemma":[0.9913622,0.00003990305,0.008336863,0.00001026921,0.000004628987,0.00002637901,0.0000169294,0.000009798043,0.0001930761],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004696249,"threshold_uncertainty_score":0.02483642,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01001990047367584,"score_gpt":0.2634249789735785,"score_spread":0.2534050784999027,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}